code: def mobilenet_v3_large_r(
      pretrained: bool = False, **kwargs: Any
  ) -> MobileNetV3:
      """MobileNetV3-Large architecture as described in
      `"Searching for MobileNetV3",
      <https://arxiv.org/pdf/1905.02244.pdf>`_.
  
      >>> import tensorflow as tf
      >>> from doctr.models import mobilenet_v3_large_r
      >>> model = mobilenet_v3_large_r(pretrained=False)
      >>> input_tensor = tf.random.uniform(shape=[1, 512, 512, 3], maxval=1, dtype=tf.float32)
      >>> out = model(input_tensor)
  
      Args:
      ----
          pretrained: boolean, True if model is pretrained
          **kwargs: keyword arguments of the MobileNetV3 architecture
  
      Returns:
      -------
          a keras.Model
      """
      return _mobilenet_v3(
          "mobilenet_v3_large_r", pretrained, True, **kwargs
      )
  
imports: from copy import deepcopy
  from typing import Any, Dict, List, Optional, Tuple, Union
  import tensorflow
  from tensorflow.keras import layers
  from tensorflow.keras.models import Sequential
  from ....datasets import VOCABS
  from ...utils import conv_sequence, load_pretrained_params
label_desc: Use image node_id 7 for calling a global function with example usage: mobilenet_v3_large_r(pretrained) and returns: _mobilenet_v3